Overview
As an AWS Data/DevOps Engineer, you will play a crucial role in preparing an AI/ML start-up's real-time data platform for launch during a critical go-live phase. Working fully remotely, you will collaborate with engineering and architecture teams to optimize data processing and ensure the platform's scalability and reliability. This contract position offers immediate engagement with opportunities for extension.
Responsibilities
- Review and enhance existing Kafka, Flink, and Kubernetes infrastructure.
- Optimize and improve the real-time data platform.
- Develop and implement scalable data pipelines.
- Collaborate with engineering teams to ensure production readiness.
- Provide hands-on engineering support throughout the project.
Requirements
- Experience with AWS EKS and cloud-based architecture.
- Proficient in Kafka, Flink, or equivalent real-time stream processing technologies.
- Strong knowledge of Kubernetes for container orchestration.
- Experience with programming in Python or Java.
- Familiarity with real-time data pipeline development.